Centre for Applied Statistics Courses

We provide short courses in research methods and statistical analyses for anyone wanting to interpret or undertake their own research. Everyone is welcome to attend, including those based outside UCL.

Extensive notes are provided for all courses, and teaching is interspersed with practical examples and activities throughout courses to ensure that everyone has understood the key principles. We strive to create a relatively informal learning atmosphere, where participants are not afraid to ask questions or voice any confusion.

No prior statistical knowledge is assumed for our introductory courses (Introduction to Research Methods and Statistics / Introduction to Statistics in R), or our winter and summer schools, but all other courses assume that the basics are understood. Our live courses usually take place on weekdays during typical office-hours and selected evening dates may also be available for certain courses depending on timetable availability. We offer online self-paced versions of many of our courses too.

Latest News:

  • We would like to inform you that from Monday 19th May, our website will be undergoing maintenance for 3/4 weeks. This may lead to some of our courses appearing out of date. We apologise for any confusion this may cause. You can contact us on ich.statscou@ucl.ac.uk or 07730405980 if you require assistance or more details about any of our upcoming courses. Thank you for your understanding.  
  • Summer is approaching, and we are pleased to announce the return of our most popular summer course, the Hybrid Summer School: Introduction to Statistics with R. This comprehensive 5-day program commences on July 7th and provides participants with an in-depth understanding of statistical methodologies and the programming language R. Face-to-face participants will also have the opportunity to engage in a variety of networking activities throughout the week. 
  • We are now excited to announce that all of our Term 3 courses are now available to book. We have a delightful selection of courses ready for you to register on to including, Introduction to Logistic Regression, Introduction to Survival/Time-to-Event Data Analysis, Introduction to Stata and our famously popular Introduction to R.
  • We have been declared winners of the Faculty of Population Health Sciences (FPHS) Team of the Year Award for 2024. This is an excellent award of recogniton for all the effort the team has put into the courses throughout the year.
  • Instats and UCL now have a partnership that allows free use of the Instats platform to create research training content for UCL researchers and their schools, departments, and faculties.
  • Our new self-paced course (Introduction to Statistics in R) is live and available to start now. This is our biggest project yet in on-demand learning and includes over 11 hours of video content, as well as 30+ interactive activities and support. To celebrate this, there is a flash 25%-off sale (exprires 13th June).

  • We have a growing list of other online self-paced courses available through exploring here. If you are a doctoral research student at UCL and would like access to this entire programme, please complete this online form. Otherwise, see the individual course pages for details.

You can also keep up to date with our latest news by joining our mailing list, or following us on Linkedin, X, or BlueSky.

The courses running frequently at CASC are:

 
Winter / summer schools:
Introductory statistics courses:
Theory-based courses:
Theory-based courses (with an optional software workshop):
Mixed courses with integrated statistical theory and software:
Statistics software courses:

Alternatively, please see the events calendar for a chronological list of statistics courses running at ICH (note: this calendar only shows the most imminent date for each course).

* Knowledge of basic statistical concepts is required/beneficial; we recommend the Introduction to Research Methods and Statistics course if you have little/no previous statistics experience; this course offers a good basis for all other CASC courses. 
~ requires prior knowledge/experience of the R software. 
^ We recommend attending the Introduction to Regression Analysis course first if you have no prior experience of regression analyses. 
✝ Evening dates often available for this course
§ Self-paced online materials available for purchase 

The Centre for Applied Statistics Courses (CASC) was founded in 2008 by Emeritus Professor Angie Wade. The team currently comprises of Director and Associate Professor Dr Eirini Koutoumanou, Associate Professor and Head of CASC’s on-demand learning Dr Dean Langan, Deputy Director of CASC Dr Chibueze Ogbonnaya, and Associate Lecturers Dr Catalina Suarez-Rivera and Dr Manolis Bagkeris. Based within UCL Great Ormond Street Institute of Child Health, we run a variety of higher degree and short courses for non-statisticians.

Please see our FAQ page before making an enquiry about our courses.

Email:
Recommended for general queries/payments:
ich.statscou@ucl.ac.uk

Twitter:
https://twitter.com/StatsCoursesICH

Phone:
For general enqueries/payment: +44 (0) 207905 2768.  To contact a teaching fellow about the contents of a course, call us on: +44 (0) 77 30405 980
** Please note that the mobile phone is manned by teaching staff so we may not be able to answer your call straight away, but feel free to leave a message or forward your query on by email where it may be more quickly responded to.

Our courses are usually based near to GOS Institute of Child Health; the nearest underground station is Russell Square on the Piccadilly line. Holborn, Chancery Lane, Euston and Kings Cross stations are all within walking distance. However, most advertised courses will be run in a hybrid mode (online and in-person attendance).

Great Ormond Street Institute of Child Health welcome visitors to take part in all of our teaching activities.

Visitors are responsible for securing their own accommodation. If accommodation is required this should be arranged before arrival and funded independently. Please visit the interactive map of hotels nearby.

The following supplementary materials and tools are freely available online as written by the CASC team. These are free for everyone, even if you are not enrolled on any of our short courses.

  • Spreadsheets for analysing 2x2 tables that compliment our one-day course 'Chi-square and Beyond for 2x2 Tables'
  • Spreadsheets for doing sample size calculations, related to the course 'Sample Size Estimation and Power Calculations with Excel'

Additionally, here is a list of Moodle pages for all courses (only accessible with a password given on registration)

casc-logo

Mailing list

Our subscribers are the first to find out about new courses, new dates for existing courses and any other important CASC news.

Join our Mailing List

Bespoke courses

If you are part of a team/organisation that would like statistics training, we can arrange extra dates for our existing courses or prepare something more bespoke.

Enquire about Bespoke Courses

Come to 6 day-courses, get a 7th free! 

Once you have attended 6 short-courses, you're ready to claim your 7th day-course for free (please email us to make this arrangement). Our longer introduction course counts as three towards this total.

Contact

Please see our FAQ page before making an enquiry.

Email:
Recommended for general queries/payments:
ich.statscou@ucl.ac.uk

Phone:
For general queries/payments:
+44 (0) 20 7905 2768
To contact a teaching fellow about the contents of a course:
+44 (0) 7730405980

Address:
Centre for Applied Statistics Courses (CASC)
UCL Great Ormond Street Institute of Child Health
30 Guilford Street
London, WC1N 1EH

Other useful links 

     

Instats